Public relations

With this section we want to inform target group oriented about our teaching duties, research and industrial cooperations. Here you will also find popular scientific illustrations of our fields of research and press releases about our involvement in research and teaching. If you have any questions, please contact us. We are happy to act as consultants or speakers.


We support the efforts of our university and of the relevant professional bodies to advertise for more mathematics, science and technology at pupils. We not only visit schools as speakers but also participate in student information days and at Jugend forscht. Although our special area of research is not the subject of school education, some questions of our discipline can be made plausible, creating a relationship to practice. Who found in mathematics fun to probability theory in advanced courses and also is interested in applications would be later overturned with us properly. To give you an idea of our work, we have put together a few examples: 


In the exchange between theory and practice, we see an important university task. To meet the requirements of the practice, we work closely with companies in various industries. Conversely, we want to try out our work results through concrete industrial projects. Our transfer services extend not only to the development of problem-specific solutions, but also to the implementation of related training.



Simulation software

TU Clausthal offers a number of simulation programs via the Simulation Science Center. These are all open source programs that can be used free of charge:

Mini Simulator (Webapp)

The Mini Simulator is a web app fully implemented in Javascript that can be run in any modern browser (including tablets and smartphones). The app maps a G/G/c/K+M model, i.e. a model consisting of a queue and a operating station. Batch arrivals, batch operations, customer impatience, repeaters and forwarding can be mapped.

Mini Callcenter Simulator

Mini Callcenter Simulator essentially reproduces the same G/G/c/K+G model that the webapp contains. However, it has much more probability distributions that can be used for inter-arrival times, service times, post-processing times, waiting time tolerances and repeat distance distributions. In addition, considerably more characteristics are recorded and various export options are available for the simulation results. Furthermore, the simulation results can be directly compared to corresponding Erlang-C results and explanations can be displayed why deviations occur at which points.

Mini Callcenter Simulator requires a Java runtime environment and has been published as open source.

Callcenter Simulator

Callcenter Simulator is designed to map real call center systems consisting of several sub-call centers, different caller groups, different agent groups (with different skill levels and different shift plans), complex assignment rules, etc. It can be used directly for staff requirements planning and for the analysis of possible control strategies in large call center networks. In addition to pure simulation, the program also provides functions for automatic optimization of the number of agents.

Callcenter Simulator requires a Java runtime environment and has been published as open source.


Warteschlangensimulator allows the simulation of any complex queueing network. The models are defined in Warteschlangensimulator in the form of flowcharts. Optionally, an animation can be displayed during the simulation of the models to illustrate the movement of the customers through the system. For the automated examination of different models, parameter series can be created automatically and an optimizer is also available. Furthermore, external data sources can be connected directly during the simulation of models and (partial) results can also be transferred directly to external programs (e.g. databases).

Warteschlangensimulator requires a Java runtime environment and was published as open source.


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